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md_mt5_0109_v3

This model is a fine-tuned version of Buseak/md_mt5_0109_v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1474
  • Bleu: 0.582
  • Gen Len: 18.9438

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.461 1.0 975 0.2323 0.5382 18.9456
0.434 2.0 1950 0.2157 0.5482 18.9446
0.4083 3.0 2925 0.2039 0.5526 18.949
0.3894 4.0 3900 0.1898 0.5577 18.9485
0.3766 5.0 4875 0.1827 0.5625 18.9508
0.3605 6.0 5850 0.1751 0.5665 18.9508
0.3497 7.0 6825 0.1680 0.5717 18.949
0.3325 8.0 7800 0.1634 0.5735 18.9423
0.323 9.0 8775 0.1581 0.574 18.9469
0.3211 10.0 9750 0.1546 0.58 18.9467
0.3177 11.0 10725 0.1526 0.5805 18.9464
0.3085 12.0 11700 0.1498 0.5831 18.9459
0.3056 13.0 12675 0.1485 0.5816 18.9456
0.304 14.0 13650 0.1478 0.5819 18.9438
0.3015 15.0 14625 0.1474 0.582 18.9438

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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